CS Sparse K-means: An Algorithm for Cluster-Specific Feature Selection in High-Dimensional Clustering

no code implementations • 26 Sep 2019 • Xiangrui Zeng, Hongyu Zheng

In this paper, we propose a K-means based clustering algorithm that discovers informative features as well as which cluster pairs are separable by each selected features.

Clustering feature selection

Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach

no code implementations • 20 Jun 2017 • Jintao Ke, Hongyu Zheng, Hai Yang, Xiqun, Chen

The fusion of convolutional techniques and the LSTM network enables the proposed DL approach to better capture the spatio-temporal characteristics and correlations of explanatory variables.

feature selection Time Series Prediction